Simplifying cloud native for all | for sponsorship queries contact kubesimplify@gmail.com
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Let the community get together and win this
Kubesimplify exists because of Saiyam and today is the time to give it back
Use this link to signup to Local AI(which will help you anyways) and let the community win.
local.ai/saiyam/invite
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The checkout failed. Inventory was fine. Where did it break?
In this simulated OpenObserve demo, the trace leads to payment.charge and its injected timeout.
Follow the request, then inspect the failing span.
#OpenTelemetry
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kubesimplify retweeted
So after I wrote the blog on open observe and I read the benchmark post by OpenObserve benchmark blog got me thinking into actually give it a spin and seeing the compaction plus cost savings myself.
I did a detailed walkthrough of OpenObserve 1.0 explaining the features and some numbers too. I think we all look out for complete package and tbh I do think OpenObserve is kind of that complete package in the observability ecosystem.
My recommendation is to read their benchmark blog with elasticsearch and then see the video, try out(you can try in < 60 seconds on your mac) and then try on your systems.
Also if you like the video, you know the drill? Like share comment :)
I was happy to explore the observability space again after sometime, its not over, I have more tools to explore which I will be sharing soon only on Kubesimplify.
Link to blog and video is in the next post(again don't forget to share for good karma :D )
#openobserve #kubernetes #observability
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A storage benchmark can be accurate and still be easy to misread.
OpenObserve’s published run reports 118 GB of compressed data, or 211 GB of actual disk use including indexing. Elasticsearch used 375 GB.
But the systems accepted different amounts of data: 100% of documents for OpenObserve and 38% for Elasticsearch in that mapping configuration.
Before comparing the headline numbers, check what each includes and how much data actually made it in.
Which benchmark detail do you check first?
#Observability #OpenObserve #CloudNative
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Blog link openobserve.ai/blog/elastics…
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kubesimplify retweeted
Glad to see this, Kubesimplify put three of its courses on freecodecamp! So happy to see this!
freeCodeCamp's YouTube finally crossed 1 billion views.
No viral videos just a lot of hard work over 12 years.
Congrats to Beau, Ania, Estefania, Gavin, Kylie, Mike Dane, everyone who's contributed their wisdom.
We're just getting started with these FREE courses. 🏕️
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kubesimplify retweeted
Your AI agents run on Kubernetes. Their observability should too.
@OpenObserve launched AI Observability on Product Hunt: LLM + agent tracing, evals and annotation, in the same open source Rust platform that does your logs, metrics and traces.
producthunt.com/posts/ai-obs…
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Tokyo, here we come 🇯🇵
AGNTCon + MCPCon Japan 2026
📅 Sept 10–11
Building AI agents, MCP servers/clients or agentic AI infrastructure? This is one to join.
🎟 ¥44,000 JPY
Code: KUBESIMPLIFY
#AGNTCon #MCPCon #AgenticAI
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The first v1.37 patch release is due Sep 15, alongside September patches for v1.34, v1.35, and v1.36.
Patch releases are the cheapest insurance in Kubernetes: mostly CVE and regression fixes, tiny blast radius.
If you upgraded to v1.37.0 on release day, v1.37.1 is your friend.
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Kubesimplify is teaming up with ContainerDays & AI Context Singapore as a media partner this year.
October 27–28, Suntec Singapore.
Two days that are actually about the work , production Kubernetes, platform engineering, AI infrastructure, and where agentic tooling and MCP are heading next.
60+ sessions from people who are building this stuff, not just talking about it.
If you're in cloud native or AI infra, this is the one to be at in Singapore this year.
Check the Link below👇
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etcd runs your entire cluster and most people treat it as a black box.
7 things worth knowing, one per tweet:
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The full etcd guide for beginners: blog.kubesimplify.com/unders…
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